DocumentCode
1894281
Title
Detection of signals in nonstationary random noise VIA stationarization and stationarity test
Author
Ijima, Hiroshi ; Okui, Ryo ; Ohsumi, Akira
Author_Institution
Dept. of Mech. & Syst. Eng., Kyoto Inst. of Technol.
fYear
2005
fDate
17-20 July 2005
Firstpage
587
Lastpage
590
Abstract
In this paper, an effective method is proposed for detecting a signal which is corrupted by nonstationary random noise. First, the noisy observation data whose statistical property is nonstationary owing to the noise is modified such that they become stationary ones. Then, based on this stationarized observation process, the stationarity test is executed to detect the signal. The method is tested by simulations to show the efficacy
Keywords
random noise; signal detection; statistical analysis; nonstationary random noise; signal detection; stationarily test; statistical property; Colored noise; Density functional theory; Finance; Psychology; Signal detection; Signal processing; Statistics; System testing; Systems engineering and theory; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
Conference_Location
Novosibirsk
Print_ISBN
0-7803-9403-8
Type
conf
DOI
10.1109/SSP.2005.1628663
Filename
1628663
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